Karthick V | Best Research Award | Graph Theory Applications Quantum Computing

Best Research Award

Karthick V
AMET University, India,

Karthick V
Affiliation AMET University
Country India
Scopus ID 60046171600
Documents 3
Citations 1
h-index 1
Subject Area Graph Theory Applications Quantum Computing
Event International Research Awards on Network Science & Graph Analytics

Karthick’s academic profile combines graph-theoretical methods with interests in quantum computing. Graph theory provides mathematical frameworks for representing relationships and complex structures, while quantum computing introduces computational models based on quantum-mechanical principles. The intersection of these areas represents an emerging field of research with potential relevance to algorithms, optimization, networks and information processing. [1]

Abstract

Karthick, affiliated with AMET University, India, is identified with research interests in graph theory applications and quantum computing. His documented Scopus profile contains three documents under Author ID 60046171600. The combination of graph-theoretical reasoning and quantum computational concepts provides an interdisciplinary basis for investigating mathematical structures, computational models and emerging approaches to complex problem solving. [1] The available information supports consideration of his profile within an academic recognition framework focused on network science and graph analytics.

Keywords

  • Graph Theory
  • Quantum Computing
  • Network Science
  • Graph Analytics
  • Computational Mathematics

Introduction

Graph theory is an established mathematical discipline concerned with vertices, edges and the relationships represented between them. Its applications extend across computer science, engineering, communication networks, optimization and data analysis. Quantum computing, meanwhile, studies computational approaches that use quantum states and operations to address classes of problems that may be difficult for conventional computing systems. Research connecting graph structures with quantum computational methods is consequently relevant to contemporary theoretical and applied computing. [2]

Research Profile

Karthick’s supplied academic profile identifies AMET University as his institutional affiliation and India as his country. His stated subject area is graph theory application and quantum computing. The available bibliographic information records three documents in Scopus under Author ID 60046171600. Citation and h-index values were not supplied and are therefore not interpreted in this article. [1]

Research Contributions

The principal research direction associated with Karthick is the application of graph theory within computational contexts, together with an interest in quantum computing. Such an interdisciplinary direction can involve the representation of computational problems as graph structures, analysis of graph properties, and investigation of algorithms or models influenced by quantum computation. Graph-based approaches are also relevant to network representation and optimization, areas closely related to modern network science. [2]

Publications

The supplied profile indicates three documents associated with Scopus Author ID 60046171600. Specific publication titles, journals, publication years and DOI identifiers were not provided. Accordingly, individual publications are not attributed here without bibliographic verification. A complete publication assessment should use the researcher’s verified institutional record and authoritative bibliographic databases. [1]

Research Impact

Research combining graph theory and quantum computing is positioned within an expanding interdisciplinary landscape involving mathematical modelling, algorithms, optimization and information processing. The academic significance of an individual researcher in this area is best assessed through verified publications, citations, peer-reviewed contributions, collaborations and demonstrable applications. Because citation and h-index information for Karthick was not supplied, this article does not assign quantitative impact beyond the stated publication record.

Award Suitability

Based on the supplied information, Karthick’s research interests in graph theory applications and quantum computing are thematically aligned with the International Research Awards on Network Science & Graph Analytics. The profile presents an interdisciplinary research direction relevant to graph-based analysis and computational science. Final award evaluation should be based on the organizer’s eligibility requirements, independently verified academic records, publication quality, research originality and documented impact.

Conclusion

Karthick’s profile at AMET University reflects an academic interest in graph theory applications and quantum computing. With three documents listed under the supplied Scopus Author ID, the available record provides an initial basis for examining his research activity. Further bibliographic and citation verification would be appropriate for a comprehensive assessment of publication impact and scholarly contribution. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Karthick, Author ID 60046171600. Scopus.https://www.scopus.com/authid/detail.uri?authorId=60046171600
  2. Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information. Cambridge University Press.https://doi.org/10.1017/CBO9780511976667

Yanfeng Liu | Graph Models | Best Researcher Award

Prof. Yanfeng Liu | Graph Models | Best Researcher Award

Visiting Professor at Pukyong National University, South Korea📖

Dr. Liu Yanfeng is a Visiting Professor at Pukyong National University (PKNU), specializing in logistics economics, supply chain management, and consumption economics. He has a strong research background in outward foreign direct investment and the digital economy, contributing to various funded research projects. Dr. Liu actively reviews for top-tier journals and is a member of multiple academic societies related to international commerce and logistics.

Profile

Scopus Profile

Orcid Profile

Google Scholar Profile

Education Background🎓

  • Ph.D. in International Commerce and Logistics – Chung-Ang University (2018–2021)
  • M.S. in International Commerce and Logistics – Chung-Ang University (2016–2018)
  • B.S. in Economics (Minor: Public Human Resources) – Chung-Ang University (2012–2016)

Professional Experience🌱

Dr. Liu has been a Visiting Professor at PKNU since August 2022, where he teaches courses on global supply chain management, technology investment, corporate growth strategies, and research methodologies. His expertise spans logistics economics, innovation in manufacturing, and technology management.=

Research Interests🔬
His research focuses on logistics economics, supply chain management, consumption economics, and outward foreign direct investment, with recent work exploring the impact of digital economies on productivity from a consumer perspective. He has contributed to research projects funded by the Jiangsu Provincial Department of Education, Gyeonggi Yeongtaek Port Corporation, and the Korea Automobile Manufacturers Association.
Author Metrics

Dr. Liu serves as a reviewer for prestigious SSCI and ESCI journals, including Journal of Travel & Tourism Marketing, International Journal of Retail & Distribution Management, Economic Analysis and Policy, and Asia Pacific Journal of Marketing and Logistics. He is an active member of multiple professional societies, including the Korea Maritime Economics Association, Logistics Society, and Northeast Asia Economic Society.

Awards & Honors

  • Best Paper Award, Korea Maritime Institute (2021)
  • Graduate School Dean’s Award (A), Chung-Ang University (2022)
  • Third Prize, Korea Maritime Institute of Fisheries Development Corporate Achievement Publication Academic Conference (2021, 2023)
Publications Top Notes 📄

1. Revenge Buying After the Lockdown: Based on the SOR Framework and TPB Model

  • Authors: Y. Liu, L. Cai, F. Ma, X. Wang
  • Journal: Journal of Retailing and Consumer Services
  • Volume: 72
  • Article ID: 103263
  • Year: 2023
  • Citations: 80
  • Abstract: This study examines consumer behavior following COVID-19 lockdowns, focusing on “revenge buying.” Using the Stimulus-Organism-Response (SOR) framework and Theory of Planned Behavior (TPB), the paper analyzes psychological factors driving excessive consumption post-lockdown.

2. Revenge Tourism After the Lockdown: Based on the SOR Framework and Extended TPB Model

  • Authors: S. Zhao, Y. Liu
  • Journal: Journal of Travel & Tourism Marketing
  • Volume: 40 (5)
  • Pages: 416-433
  • Year: 2023
  • Citations: 19
  • Abstract: This study investigates the surge in post-lockdown travel, termed “revenge tourism.” An extended TPB model and SOR framework are employed to explore psychological motivations, travel intention, and actual behavior.

3. Psychological Antecedents of Telehealth Acceptance: A Technology Readiness Perspective

  • Authors: X. Li, Y. Zhou, Y. Liu, X. Wang, K.F. Yuen
  • Journal: International Journal of Disaster Risk Reduction
  • Volume: 91
  • Article ID: 103688
  • Year: 2023
  • Citations: 17
  • Abstract: The paper explores factors influencing the adoption of telehealth services, emphasizing technology readiness as a key determinant. It assesses consumer trust, perceived ease of use, and pandemic-induced behavioral shifts.

4. The Determinants of China’s Outward Foreign Direct Investment: A Vector Error Correction Model Analysis of Coastal and Landlocked Countries

  • Authors: Y. Liu, M. Su, J. Zhao, S. Martin, K.F. Yuen, C.B. Lee
  • Journal: Economic Change and Restructuring
  • Volume: 56 (1)
  • Pages: 29-56
  • Year: 2023
  • Citations: 15
  • Abstract: This study uses Vector Error Correction Model (VECM) analysis to examine factors influencing China’s outward foreign direct investment (OFDI) in coastal vs. landlocked provinces, identifying key economic and policy drivers.

5. Revenge Buying: The Role of Negative Emotions Caused by Lockdowns

  • Authors: Y. Liu, X. Li, K.F. Yuen
  • Journal: Journal of Retailing and Consumer Services
  • Volume: 75
  • Article ID: 103523
  • Year: 2023
  • Citations: 12
  • Abstract: This paper explores how negative emotions triggered by lockdowns influence revenge buying behavior. It integrates emotional theories with consumer decision-making models to explain impulsive post-pandemic purchases.

Conclusion

Dr. Liu Yanfeng is a strong candidate for the Best Researcher Award due to his high-impact publications, interdisciplinary expertise, research funding success, and academic contributions. Addressing areas such as diversification of research, global collaborations, and industry applications would further enhance his profile. Nonetheless, his existing achievements position him as a top-tier researcher in logistics economics and consumer behavior studies.